Kajian Perbandingan Tingkat Kepuasan dan Kepentingan Wisatawan Kampung Adat Cireundeu
Bibliographic record
Abstract
Abstract. Cireundeu Traditional Village offers tourist attractions in the form of natural beauty as well as culture and traditions that have been preserved from generation to generation, making it attractive for tourists. However, some tourists expressed dissatisfaction regarding their experience there. Therefore, a comparative analysis of the level of satisfaction and importance of the 4A components (attractions, amenities, accessibility and institutions) is needed. This rsearch aims to provide recommendations to tourism managers and related parties to improve the quality of services in the Cireundeu Traditional Village. The IPA analysis method (*Importance Performance Analysis*) was used with 22 indicators. The research results show an overall conformity rate of 96.98%, which reflects the difference between tourist expectations and performance in several important aspects. The analysis diagram also identifies the main development priorities, namely improving overall environmental cleanliness. Abstrak. Kampung Adat Cireundeu menawarkan daya tarik wisata berupa keindahan alam serta budaya dan tradisi yang dilestarikan secara turun-temurun, menjadikannya menarik bagi wisatawan. Namun, beberapa wisatawan menyampaikan ketidakpuasan terkait pengalaman mereka di sana. Oleh karena itu, diperlukan analisis perbandingan tingkat kepuasan dan kepentingan terhadap komponen 4A (atraksi, amenitas, aksesibilitas, dan kelembagaan). Penelitian ini bertujuan memberikan rekomendasi kepada pengelola wisata dan pihak terkait untuk meningkatkan kualitas layanan di Kampung Adat Cireundeu. Metode analisis IPA (Importance Performance Analysis) digunakan dengan 22 indikator. Hasil penelitian menunjukkan tingkat kesesuaian keseluruhan sebesar 96,98%, yang mencerminkan adanya perbedaan antara harapan wisatawan dan kinerja pada beberapa aspek penting. Diagram analisis juga mengidentifikasi prioritas pengembangan utama, yaitu perbaikan kebersihan lingkungan secara menyeluruh.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".